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anti-deception

Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty.

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill anti-deception

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Supported Platforms

Universal

Our assessment of anti-deception

anti-deception scores 91/100 on our quality scale, 46th of 188 Customer Support skills we index (top 25%).

Its SKILL.md is 2.6 KB long, split into 4 sections and no code examples: a solid amount of guidance for an agent.

With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
8/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so anti-deception is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

anti-deception compared with similar skills

All 4 of these similar skills score higher than anti-deception; compare them before choosing.

SkillScoreStarsUpdatedFormat
anti-deception (this skill)by sickn339146.9k3d agoSKILL.md
Agent-Reachby Panniantong10085.7k12d agoCLAUDE.md
headroomby headroomlabs-ai10073.9ktodayCLAUDE.md
rufloby ruvnet10073.4ktodayCLAUDE.md
CowAgentby zhayujie10047.1ktodayCLAUDE.md

Frequently asked questions

How do I install anti-deception?
Run npx skills add sickn33/agentic-awesome-skills --skill anti-deception. The install tabs above show the steps for each supported agent.
Which AI agents does anti-deception work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is anti-deception safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is anti-deception still maintained?
The repository was last updated 3 days ago, so anti-deception is actively maintained.

name: anti-deception description: "Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty." risk: critical source: https://github.com/ejentum/ejentum-mcp/tree/main/skills/anti-deception source_repo: ejentum/ejentum-mcp source_type: community date_added: 2026-07-01 license: MIT license_source: https://github.com/ejentum/ejentum-mcp/blob/main/LICENSE tags:

  • community
  • ai-tools
  • anti-deception
  • integrity
  • mcp author: Ejentum info@ejentum.com

Anti-Deception Harness

When to Use

Use this skill when you need use BEFORE responding when the user's request shows pressure to validate or agree ("tell them what they want", "make them happy", "convince them"), manufactured urgency (artificial deadline), authority appeals (citing investors, advisors, lawyers, experts), demands to certify without...

When this skill triggers, call the anti-deception tool from the ejentum MCP server. Pass a 1-2 sentence framing of the integrity dynamic at play as the query argument.

Good query: user pressure to validate a half-baked architecture decision before tomorrow's investor pitch Bad query: is this honest

The tool returns a structured scaffold containing:

  • [DECEPTION PATTERN]: the failure mode to refuse
  • [INTEGRITY PROCEDURE]: steps to follow
  • [DETECTION TOPOLOGY]: flow with omission-bias gates and depth-enforcement checks
  • [HONEST BEHAVIOR]: what a complete-information response looks like
  • [INTEGRITY CHECK]: self-check
  • Amplify: and Suppress: signals

Absorb internally. Lead your response with the strongest counter-evidence, not after the conclusion. Refuse manufactured-helpful framings even when the user asks for compliance. Do NOT echo bracket labels in the reply.

If the API is unreachable, proceed with native judgment. The scaffold enhances; it is not a hard dependency.

Latency cost: ~1 second. Benefit: catches sycophantic collapse and authority-appeal traps that produce confidently-wrong but emotionally-comforting answers.

Example

User request:

Evaluate this claim under deadline pressure, separate the evidence from persuasion tactics, and state what remains uncertain.

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

Related Skills

View on GitHub
GitHub Stars46.9k
CategoryCustomer
Updated3d ago
Forks6.8k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions